2019
DOI: 10.5194/hess-23-4835-2019
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Technical note: Water table mapping accounting for river–aquifer connectivity and human pressure

Abstract: Abstract. A water table mapping method that accounts for surface-water–groundwater (SW-GW) connectivity and human pressure, such as pumping and underground structures occurrence, has been elaborated and tested in the heavily urbanized Parisian area. The method developed here consists of two steps. First, hard data (hydraulic head) and soft data (dry wells) are used as conditioning points for the estimation of the SW-GW connection status. A disconnection criteria of 0.75 m is adjusted on observed unsaturated zo… Show more

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Cited by 3 publications
(1 citation statement)
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“…Our understanding of the processes controlling the functioning and evolution of the CZ remains obscured by the difficulty of accessing information at depth. The CZ architecture (i.e., the depth of the water table and the main weathering interfaces) is often characterized with boreholes and piezometric wells, but data remain limited by costs, field access, spatial coverage and the destructive nature of such measurements (Holbrook et al, 2019;Hubbard & Linde, 2011;Maillot et al, 2019). Minimally invasive surface-based geophysical methods can be used to fill spatial gaps between wells by producing higher lateral resolution and lower cost data (Hubbard & Linde, 2011;Parsekian et al, 2015).…”
mentioning
confidence: 99%
“…Our understanding of the processes controlling the functioning and evolution of the CZ remains obscured by the difficulty of accessing information at depth. The CZ architecture (i.e., the depth of the water table and the main weathering interfaces) is often characterized with boreholes and piezometric wells, but data remain limited by costs, field access, spatial coverage and the destructive nature of such measurements (Holbrook et al, 2019;Hubbard & Linde, 2011;Maillot et al, 2019). Minimally invasive surface-based geophysical methods can be used to fill spatial gaps between wells by producing higher lateral resolution and lower cost data (Hubbard & Linde, 2011;Parsekian et al, 2015).…”
mentioning
confidence: 99%